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Twitter Demographics
Mendeley readers
Attention Score in Context
| Title |
A serological assay to detect SARS-CoV-2 seroconversion in humans
|
|---|---|
| Published in |
medRxiv
|
| DOI | 10.1101/2020.03.17.20037713 |
| Pubmed ID | |
| Authors |
Amanat, Fatima, Stadlbauer, Daniel, Strohmeier, Shirin, Nguyen, Thi H.O., Chromikova, Veronika, McMahon, Meagan, Jiang, Kaijun, Arunkumar, Guha Asthagiri, Jurczyszak, Denise, Polanco, Jose, Bermudez-Gonzalez, Maria, Kleiner, Giulio, Aydillo, Teresa, Miorin, Lisa, Fierer, Daniel, Lugo, Luz Amarilis, Kojic, Erna Milunka, Stoever, Jonathan, Liu, Sean T. H., Cunningham-Rundles, Charlotte, Felgner, Philip L., Moran, Thomas, Garcia-Sastre, Adolfo, Caplivski, Daniel, Cheng, Allen, Kedzierska, Katherine, Vapalahti, Olli, Hepojoki, Jussi M., Simon, Viviana, Krammer, Florian |
Twitter Demographics
The data shown below were collected from the profiles of 6,696 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1924 | 29% |
| United Kingdom | 392 | 6% |
| Canada | 170 | 3% |
| Spain | 118 | 2% |
| India | 97 | 1% |
| Germany | 89 | 1% |
| France | 86 | 1% |
| Australia | 78 | 1% |
| Netherlands | 65 | <1% |
| Other | 780 | 12% |
| Unknown | 2897 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4956 | 74% |
| Scientists | 1247 | 19% |
| Practitioners (doctors, other healthcare professionals) | 289 | 4% |
| Science communicators (journalists, bloggers, editors) | 201 | 3% |
| Unknown | 3 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 657 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 657 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 173 | 26% |
| Student > Ph. D. Student | 91 | 14% |
| Other | 62 | 9% |
| Student > Master | 57 | 9% |
| Student > Doctoral Student | 35 | 5% |
| Other | 131 | 20% |
| Unknown | 108 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 123 | 19% |
| Biochemistry, Genetics and Molecular Biology | 111 | 17% |
| Agricultural and Biological Sciences | 67 | 10% |
| Immunology and Microbiology | 64 | 10% |
| Engineering | 26 | 4% |
| Other | 116 | 18% |
| Unknown | 150 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4533. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 June 2023.
All research outputs
#943
of 24,496,759 outputs
Outputs from medRxiv
#64
of 45,765 outputs
Altmetric has tracked 24,496,759 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 45,765 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 51.2. This one has done particularly well, scoring higher than 99% of its peers.